class: center, middle, inverse, title-slide # FORECAST HARGA GULA ## Sebuah Analisa Time Series ### ikanx101.github.io ### <span class="citation">@mr.ikanx</span> ### Juni 30, 2020 --- class: middle,center # Pendahuluan --- # Pendahuluan ## Latar Belakang ### Perubahan Harga Bahan Baku Salah satu bahan baku yang digunakan oleh Nutrifood adalah gula. Jika diperhatikan, harga gula dunia selalu berubah setiap harinya. Perkembangan teknologi dan metodologi _data science_ saat ini memungkinkan kita untuk bisa mengambil data historikal secara _real time_ dan membuat model prediksi dari data tersebut. ## Tujuan Apakah bisa kita memodelkan dan memprediksi perubahan harga gula di masa yang akan datang? --- # Pendahuluan ## Landasan Teori ### Mengenal _Time Series_ Setiap data yang berkaitan dengan waktu, dapat digolongkan menjadi deret waktu (_time series_). Biasa dinotasikan sebagai `\(Y_t\)`. Ada dua analisa yang sangat populer terkait dengan _time series_: - _Forecasting_ model, seperti: _Exponential smoothing_, _ARIMA_, dll. - _Decomposition_. --- class: middle,center # Metodologi --- # Metodologi ## Data dan Analisa Data yang digunakan diambil dari situs [isosugar](https://www.isosugar.org/prices.php?pricerange=currentmonth). Harga yang diambil adalah dalam kurs _dollar_, yakni: __cts/lb__. Data yang tersedia adalah data harga gula harian sejak dari `Januari 2017` hingga `Juni 2020`. Data diambil dengan cara _web scraping_. Data akan dibagi dua, yakni `train dataset` untuk membuat model _forecast_ (data `Januari 2017` hingga `Mei 2020`) dan `test dataset` (data `Juni 2020`) untuk melakukan validasi model. Semuanya dilakukan dengan _tools_ __R__. <div id="htmlwidget-7a60ed47c6ef3ddc5ee1" style="width:864px;height:288px;" class="nomnoml html-widget"></div> <script type="application/json" data-for="htmlwidget-7a60ed47c6ef3ddc5ee1">{"x":{"code":"\n#fill: #FEFEFF\n#lineWidth: 1\n#zoom: 4\n#direction: right\n\n[Source data|isosugar.org] -> [Data Scraping|Real Time]\n [Data Scraping] -> [Data Preprocessing|Checking & Cleaning]\n [Data Preprocessing] -> [Time Series]\n [Stationary Check] <- [Time Series] \n [Forecast] <- [Stationary Check|Requirement]\n [Validity Check|Using test dataset] <- [Forecast|Using train dataset]","svg":false},"evals":[],"jsHooks":[]}</script> --- # Metodologi ## _Missing data_ `NA` Dari data harian yang ada tersebut, ternyata pada saat hari libur (termasuk sabtu dan minggu) tidak ada data harga (kosong atau `NA`). Oleh karena itu, data kosong ini akan diisi harga pada hari sebelumnya (misal: _closing_ harga Jumat atau kondisi lainnya). --- class: middle,center # Analisa _Time Series_ --- # Analisa _Time Series_ ## Tren Harga Gula <div id="htmlwidget-71530ab20c7deb85d09a" style="width:1008px;height:396px;" class="plotly html-widget"></div> <script type="application/json" data-for="htmlwidget-71530ab20c7deb85d09a">{"x":{"visdat":{"1ea668c9603a":["function () 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--- # Analisa _Time Series_ ## _Stationary Checking_ Salah satu syarat agar kita bisa membangun model _forecast_ dari data _time series_ adalah: > Data yang digunakan harus __stationary__. Bagaimana cara mengeceknya? ``` ## ## Augmented Dickey-Fuller Test ## ## data: ts ## Dickey-Fuller = -3.1252, Lag order = 10, p-value = 0.102 ## alternative hypothesis: stationary ``` ``` ## [1] "Tidak stationary" ``` --- # Analisa _Time Series_ ## _Stationary Checking_ Ternyata data yang kita miliki tidak stasioner sehingga perlu ada transformasi agar menjadi stasioner. Caranya adalah dengan membuat data _time series_ baru dengan membuat data baru, yakni data selisih harga dengan `lag = n hari`. Bagaimana mencari nilai `n`? Kita bisa melakukan analisa `ndiffs` sehingga mendapatkan nilai `lag` terbaik. ```r ndiffs(ts, alpha=0.05, test=c('kpss')) ``` ``` ## [1] 1 ``` Sehingga didapat `lag = 1` hari. --- # Analisa _Time Series_ ## Membuat Data Baru Setelah mengetahui `lag`, maka kita akan membuat data baru sebagai berikut: `$$Y_t' = Y_{t(i+1)} - Y_t$$` Yakni: data esok dikurang data sekarang. 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--- # Analisa _Time Series_ ## _Stationary Checking_ untuk Data Baru Mari kita cek apakah data hasil transformasinya sudah stasioner atau belum! ``` ## ## Augmented Dickey-Fuller Test ## ## data: ts_transformed ## Dickey-Fuller = -10.227, Lag order = 10, p-value = 0.01 ## alternative hypothesis: stationary ``` ``` ## [1] "stationary" ``` Ternyata hasilnya stasioner. Berarti kita bisa membuat model _forecast_ berdasarkan data hasil transformasi ini. --- # Analisa _Time Series_ ## _Decomposition_ Mari kita lihat dulu bagaimana jika data ini kita dekomposisi menggunakan metode [STL](https://otexts.com/fpp2/stl.html#ref-Cleveland1990). <img src="Presentasi-Gula_files/figure-html/unnamed-chunk-7-1.png" width="1008" /> --- class:middle,center # _Forecast_ Model --- # _Forecast_ Model Kita akan membuat model untuk _forecast_ harga gula. Agar bisa melakukan _cross validation_, data akan kita pecah menjadi dua, yakni: 1. `train` _dataset_, yakni berisi data selisih harga gula `Januari 2017` - `Mei 2020`. 2. `test` _dataset_, yakni data harga gula pada `Maret 2020` agar kita bisa menilai _performance_ dari model yang kita buat. ### _Train dataset_ <div id="htmlwidget-570ec7ff8b10e8bcb738" style="width:1008px;height:216px;" class="plotly html-widget"></div> <script type="application/json" data-for="htmlwidget-570ec7ff8b10e8bcb738">{"x":{"visdat":{"1ea6377606a4":["function () 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--- # _Forecast_ Model ### _Test dataset_ <div id="htmlwidget-a4d36f28afc0204174b5" style="width:1008px;height:288px;" class="plotly html-widget"></div> <script type="application/json" data-for="htmlwidget-a4d36f28afc0204174b5">{"x":{"visdat":{"1ea630ea8376":["function () 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Kita akan membuat beberapa model _time series_, model yang terbaik akan dipilih berdasarkan validasi dengan `test` _dataset_. --- # _Forecast_ Model ## Metode yang Digunakan Dalam melakukan _forecast time series_ kita bisa menggunakan beberapa metode yang ada. Pada kasus kali ini, kita membuat model berdasarkan metode sebagai berikut: 1. ARIMA. 2. Exponential Smoothing 3. Auto ARIMA 4. Holtwinter 5. Naive 6. TBATS Model terbaik akan dipilih berdasarkan parameter _goodness of fit model_. Parameter yang dipilih adalah `MAE` (_Mean Absolute Error_). `$$MAE = \frac{1}{n} \sum_{n=1}^{n} |predict_i - actual_i|$$` --- --- # _Forecast_ Model ## _Goodness of Fit Parameter_: __MAE__ `$$MAE = \frac{1}{n} \sum_{n=1}^{n} |predict_i - actual_i|$$` `MAE` menandakan nilai mutlak dari kesalahan (_error_) antara nilai prediksi dengan nilai aktual. Semakin kecil `MAE` yang didapatkan, maka akan semakin bagus prediksi dari model tersebut. --- # _Forecast_ Model ## Model I: ARIMA <div id="htmlwidget-940c906bad3b2a02330f" style="width:1008px;height:288px;" class="plotly html-widget"></div> <script type="application/json" data-for="htmlwidget-940c906bad3b2a02330f">{"x":{"visdat":{"1ea6752fac11":["function () 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STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.87 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.29 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.22 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.62 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.41 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.23 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.28 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.21 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.43 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.36 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.22 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.41 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.23 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.23 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.54 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.33 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.65 <br> Fitted Value: -0.38 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.19 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.13 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.29 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.65 <br> Fitted Value: -0.43 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.36 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.42 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.37 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.3 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.37 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.29 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.35 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.27 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.24 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.29 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.28 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.71 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.73 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.35 <br> Fitted Value: 0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.24 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.4 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.37 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.18 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.13 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.26 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.39 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.31 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.35 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.57 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.58 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.59 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.48 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Fitted Value: 0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.24 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.54 <br> Fitted Value: -0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.31 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.72 <br> Fitted Value: 0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.33 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.4 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.19 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.21 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.55 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.62 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.18 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.38 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.46 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.31 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.5 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.45 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.22 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.35 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.25 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.35 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.31 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.3 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.18 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.39 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.46 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.62 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.22 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.22 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.18 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.28 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.26 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.28 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.21 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.55 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.32 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.26 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.47 <br> Fitted Value: -0.29 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.19 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.48 <br> Fitted Value: 0.33 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.28 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.37 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.21 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.13 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.36 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.45 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.13 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.32 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.33 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.32 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.31 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.4 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.25 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.18 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.61 <br> Fitted Value: 0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.17 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.21 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.19 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.25 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.41 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.26 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.27 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.32 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.26 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.44 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.19 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.4 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.23 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.29 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.57 <br> Fitted Value: -0.37 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.48 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.43 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.22 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.15 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.65 <br> Fitted Value: -0.42 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.27 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.3 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.31 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.15 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.22 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.34 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.44 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.26 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.21 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.24 <br> Fitted Value: 0.33 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.49 <br> Fitted Value: 0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.22 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.24 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.18 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.37 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.19 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.23 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.56 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.46 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.47 <br> Fitted Value: 0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.21 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: -0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.4 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.24 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.27 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.26 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.18 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.13 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.18 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.25 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.23 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.36 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.41 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.47 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.17 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.45 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.3 <br> Fitted Value: -0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.31 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.73 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.47 <br> Fitted Value: 0.33 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.27 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.32 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.34 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.43 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.15 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.32 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.27 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.26 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.13 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.21 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.33 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.33 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.19 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.47 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.23 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.21 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: 0.29 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.13 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.34 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.21 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.21 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.7 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.21 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.37 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.3 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.53 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.32 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.13 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.17 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.22 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.15 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.55 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.27 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.18 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: -0.36 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.28 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.26 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: -0.41 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.32 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.23 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.25 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.27 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.22 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.43 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.24 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.41 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.69 <br> Fitted Value: 0.34 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: 0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.27 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.22 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.17 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.25 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.15 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.24 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.26 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.45 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.29 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.23 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.39 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.18 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.32 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.41 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.29 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.28 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.22 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.26 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.46 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.22 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.24 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.25 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.18 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.23 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.19 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.18 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.18 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Fitted Value: 0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.3 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.39 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.31 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.17 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.28 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.24 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.15 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.31 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.37 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.18 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.26 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.28 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.17 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.34 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.24 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.35 <br> Fitted Value: -0.35 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.36 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.28 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.36 <br> Fitted Value: -0.4 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.42 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.28 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.63 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.59 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.23 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.29 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.22 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.3 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.27 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.4 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.22 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.22 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.27 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.25 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.18 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.45 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.4 <br> Fitted Value: 0.35 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.5 <br> Fitted Value: 0.29 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.89 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.54 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.36 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.49 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.4 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.26 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero 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ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.22 <br> Fitted Value: NA <br> Training 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STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.87 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.62 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.43 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.54 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.65 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.65 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.42 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.71 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.73 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.39 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.57 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.58 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.59 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.48 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.54 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.72 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.55 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.62 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.38 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.46 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.5 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.39 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.46 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.62 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.55 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.48 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.61 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.44 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.57 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.48 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.43 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.65 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.34 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.44 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.49 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.56 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.46 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.73 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.34 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.43 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.34 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.7 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.53 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.55 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.43 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.69 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.39 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.46 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.39 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.34 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.42 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.63 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.59 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.5 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.89 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.54 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.49 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Forecasted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.22 <br> Forecasted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.4 <br> Forecasted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Forecasted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.28 <br> Forecasted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: 0.22 <br> Training 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with non-zero mean <br> Actual: 0.22 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.62 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.41 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.23 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.28 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.21 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.43 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.36 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.22 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.41 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.23 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.23 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.54 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.33 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.65 <br> Fitted Value: -0.38 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.19 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.13 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.29 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.65 <br> Fitted Value: -0.43 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.36 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.42 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.37 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.3 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.37 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.29 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.35 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.27 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.24 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.29 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.28 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.71 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.73 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.35 <br> Fitted Value: 0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.24 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.4 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.37 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.18 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.13 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.26 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.39 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.31 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.35 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.57 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.58 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.59 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.48 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Fitted Value: 0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.24 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.54 <br> Fitted Value: -0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.31 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.72 <br> Fitted Value: 0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.33 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.4 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.19 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.21 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.55 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.62 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.18 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.38 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.46 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.31 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.5 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.45 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.22 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.35 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.25 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.35 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.31 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.3 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.18 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.39 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.46 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.62 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.22 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.22 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.18 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.28 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.26 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.28 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.21 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.55 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.32 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.26 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.47 <br> Fitted Value: -0.29 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.19 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.48 <br> Fitted Value: 0.33 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.28 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.37 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.21 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.13 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.36 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.45 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.13 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.32 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.33 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.32 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.31 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.4 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.25 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.18 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.61 <br> Fitted Value: 0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.17 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.21 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.19 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.25 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.41 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.26 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.27 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.32 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.26 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.44 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.19 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.4 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.23 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.29 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.57 <br> Fitted Value: -0.37 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.48 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.43 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.22 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.15 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.65 <br> Fitted Value: -0.42 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.27 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.3 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.31 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.15 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.22 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.34 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.44 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.26 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.21 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.24 <br> Fitted Value: 0.33 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.49 <br> Fitted Value: 0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.22 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.24 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.18 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.37 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.19 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.23 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.56 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.46 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.47 <br> Fitted Value: 0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.21 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: -0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.4 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.24 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.27 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.26 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.18 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.13 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.18 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.25 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.23 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.36 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.41 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.47 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.17 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.45 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.3 <br> Fitted Value: -0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.31 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.73 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.47 <br> Fitted Value: 0.33 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.27 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.32 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.34 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.43 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.15 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.32 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.27 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.26 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.13 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.21 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.33 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.33 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.19 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.47 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.23 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.21 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: 0.29 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.13 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.34 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.21 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.21 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.7 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.21 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.37 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.3 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.53 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.32 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.13 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.17 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.22 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.15 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.55 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.27 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.18 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: -0.36 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.28 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.26 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: -0.41 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.32 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.23 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.25 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.27 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.22 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.43 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.24 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.41 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.69 <br> Fitted Value: 0.34 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: 0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.27 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.22 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.17 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.25 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.15 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.24 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.26 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.45 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.29 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.23 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.39 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.18 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.32 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.41 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.29 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.28 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.13 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.22 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.26 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.46 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.22 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.24 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.25 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.18 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.23 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.14 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.19 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.18 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.18 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Fitted Value: 0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.3 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.39 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.11 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.31 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.16 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.17 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.05 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.15 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.28 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.04 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.24 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.15 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.08 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.31 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.37 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.18 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.26 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.28 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.19 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.17 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.34 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.24 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.35 <br> Fitted Value: -0.35 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.03 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.36 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.28 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.36 <br> Fitted Value: -0.4 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.42 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.28 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.63 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.59 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.2 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.23 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.09 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.29 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.22 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.3 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.27 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.4 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.22 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.01 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.09 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.22 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.08 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.06 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.2 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.27 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.25 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.02 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.18 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.45 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.4 <br> Fitted Value: 0.35 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.5 <br> Fitted Value: 0.29 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.89 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.54 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.36 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.49 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.03 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.05 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.16 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.12 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: 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Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.17 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing 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STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Forecasted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.22 <br> Forecasted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.4 <br> Forecasted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Forecasted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.28 <br> Forecasted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Forecasted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.11 <br> Forecasted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.21 <br> Forecasted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.28 <br> Forecasted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.07 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.1 <br> Forecasted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.14 <br> Forecasted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.04 <br> Forecasted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.22 <br> Forecasted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.15 <br> Forecasted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0 <br> Forecasted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.1 <br> Forecasted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.12 <br> Forecasted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: -0.06 <br> Forecasted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ARIMA(2,0,0) with non-zero mean <br> Actual: 0.07 <br> Forecasted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18"],"marker":{"color":"green","line":{"color":"rgba(44,160,44,1)"}},"line":{"color":"green"},"error_y":{"color":"rgba(44,160,44,1)"},"error_x":{"color":"rgba(44,160,44,1)"},"xaxis":"x","yaxis":"y","frame":null}],"highlight":{"on":"plotly_click","persistent":false,"dynamic":false,"selectize":false,"opacityDim":0.2,"selected":{"opacity":1},"debounce":0},"shinyEvents":["plotly_hover","plotly_click","plotly_selected","plotly_relayout","plotly_brushed","plotly_brushing","plotly_clickannotation","plotly_doubleclick","plotly_deselect","plotly_afterplot","plotly_sunburstclick"],"base_url":"https://plot.ly"},"evals":[],"jsHooks":[]}</script> ``` ## ME RMSE MAE MPE MAPE MASE ACF1 ## Training set -1.310490e-06 0.1467468 0.1077438 NaN Inf 0.6122437 7.803934e-06 ## Test set 6.492807e-02 0.1803928 0.1472824 NaN Inf 0.8369185 2.595380e-01 ## Theil's U ## Training set NA ## Test set NaN ``` --- # _Forecast_ Model ## Model II: Exponential Smoothing <div id="htmlwidget-26d22f7456c7a78cc7e2" 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STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.87 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.29 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.22 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.62 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.41 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.23 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.28 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.43 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.36 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.22 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.41 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.23 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.23 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.54 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.33 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.65 <br> Fitted Value: -0.38 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.19 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.13 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.29 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.65 <br> Fitted Value: -0.43 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.36 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.42 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.37 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.3 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.37 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.29 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.35 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.27 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.24 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.29 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.28 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.71 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.73 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.35 <br> Fitted Value: 0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.24 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.4 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.37 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.18 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.13 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.26 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.39 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.31 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.35 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.57 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.58 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.59 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.48 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Fitted Value: 0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.24 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.54 <br> Fitted Value: -0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.31 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.72 <br> Fitted Value: 0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.33 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.4 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.19 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.21 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.55 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.62 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.18 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.38 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.46 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.31 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.5 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.45 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.22 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.35 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.25 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.35 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.31 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.3 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.18 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.39 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.46 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.62 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.22 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.18 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.28 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.26 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.28 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.21 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.55 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.32 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.26 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.47 <br> Fitted Value: -0.29 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.19 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.48 <br> Fitted Value: 0.33 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.28 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.37 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.21 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.13 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.36 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.45 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.13 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.32 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.33 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.32 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.31 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.4 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.25 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.18 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.61 <br> Fitted Value: 0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.17 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.21 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.19 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.25 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.41 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.26 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.27 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.32 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.26 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.44 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.19 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.4 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.23 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.29 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.57 <br> Fitted Value: -0.37 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.48 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.43 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.22 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.15 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.65 <br> Fitted Value: -0.42 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.27 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.3 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.31 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.15 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.22 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.34 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.44 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.26 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.21 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.24 <br> Fitted Value: 0.33 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.49 <br> Fitted Value: 0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.22 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.24 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.18 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.37 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.19 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.23 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.56 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.46 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.47 <br> Fitted Value: 0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.21 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: -0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.4 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.24 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.27 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.26 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.18 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.13 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.18 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.25 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.23 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.36 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.41 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.47 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.17 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.45 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.3 <br> Fitted Value: -0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.31 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.73 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.47 <br> Fitted Value: 0.33 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.27 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.32 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.34 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.43 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.15 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.32 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.27 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.26 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.13 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.21 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.33 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.33 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.19 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.47 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.23 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.21 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: 0.29 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.13 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.34 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.21 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.21 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.7 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.21 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.37 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.3 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.53 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.32 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.13 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.17 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.22 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.15 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.55 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.27 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.18 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: -0.36 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.28 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.26 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: -0.41 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.32 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.23 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.25 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.27 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.22 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.43 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.24 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.41 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.69 <br> Fitted Value: 0.34 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: 0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.27 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.22 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.17 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.25 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.15 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.24 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.26 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.45 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.29 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.23 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.39 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.18 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.32 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.41 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.29 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.28 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.22 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.26 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.46 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.22 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.24 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.25 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.18 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.23 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.19 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.18 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.18 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Fitted Value: 0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.3 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.39 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.31 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.17 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.28 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.24 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.15 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.31 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.37 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.18 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.26 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.28 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.17 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.34 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.24 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.35 <br> Fitted Value: -0.35 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.36 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.28 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.36 <br> Fitted Value: -0.4 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.42 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.28 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.63 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.59 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.23 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.29 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.22 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.3 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.27 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.4 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.22 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.22 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.27 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.25 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.18 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.45 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.4 <br> Fitted Value: 0.35 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.5 <br> Fitted Value: 0.29 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.89 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.54 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.36 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.49 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.4 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.26 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.22 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.4 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.28 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.21 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.28 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.22 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.15 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 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STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.87 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.62 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.43 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.54 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.65 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.65 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.42 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.71 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.73 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.39 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.57 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.58 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.59 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.48 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.54 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.72 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.55 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.62 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.38 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.46 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.5 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.39 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.46 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.62 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.55 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.48 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.61 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.44 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.57 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.48 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.43 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.65 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.34 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.44 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.49 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.56 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.46 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.73 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.34 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.43 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.34 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.7 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.53 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.55 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.43 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.69 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.39 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.46 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.39 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.34 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.42 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.63 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.59 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 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RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 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ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.22 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.62 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.41 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.23 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.28 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.43 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.36 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.22 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.41 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.23 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.23 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.54 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.33 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.65 <br> Fitted Value: -0.38 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.19 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.13 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.29 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.65 <br> Fitted Value: -0.43 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.36 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.42 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.37 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.3 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.37 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.29 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.35 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.27 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.24 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.29 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.28 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.71 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.73 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.35 <br> Fitted Value: 0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.24 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.4 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.37 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.18 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.13 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.26 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.39 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.31 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.35 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.57 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.58 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.59 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.48 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Fitted Value: 0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.24 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.54 <br> Fitted Value: -0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.31 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.72 <br> Fitted Value: 0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.33 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.4 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.19 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.21 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.55 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.62 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.18 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.38 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.46 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.31 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.5 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.45 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.22 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.35 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.25 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.35 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.31 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.3 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.18 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.39 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.46 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.62 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.22 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.18 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.28 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.26 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.28 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.21 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.55 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.32 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.26 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.47 <br> Fitted Value: -0.29 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.19 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.48 <br> Fitted Value: 0.33 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.28 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.37 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.21 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.13 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.36 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.45 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.13 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.32 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.33 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.32 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.31 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.4 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.25 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.18 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.61 <br> Fitted Value: 0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.17 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.21 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.19 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.25 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.41 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.26 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.27 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.32 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.26 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.44 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.19 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.4 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.23 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.29 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.57 <br> Fitted Value: -0.37 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.48 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.43 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.22 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.15 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.65 <br> Fitted Value: -0.42 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.27 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.3 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.31 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.15 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.22 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.34 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.44 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.26 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.21 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.24 <br> Fitted Value: 0.33 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.49 <br> Fitted Value: 0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.22 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.24 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.18 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.37 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.19 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.23 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.56 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.46 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.47 <br> Fitted Value: 0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.21 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: -0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.4 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.24 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.27 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.26 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.18 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.13 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.18 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.25 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.23 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.36 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.41 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.47 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.17 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.45 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.3 <br> Fitted Value: -0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.31 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.73 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.47 <br> Fitted Value: 0.33 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.27 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.32 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.34 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.43 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.15 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.32 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.27 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.26 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.13 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.21 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.33 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.33 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.19 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.47 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.23 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.21 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: 0.29 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.13 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.34 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.21 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.21 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.7 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.21 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.37 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.3 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.53 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.32 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.13 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.17 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.22 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.15 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.55 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.27 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.18 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: -0.36 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.28 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.26 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: -0.41 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.32 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.23 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.25 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.27 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.22 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.43 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.24 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.41 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.69 <br> Fitted Value: 0.34 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: 0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.27 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.22 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.17 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.25 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.15 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.24 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.26 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.45 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.29 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.23 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.39 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.18 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.32 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.41 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.29 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.28 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.13 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.22 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.26 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.46 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.22 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.24 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.25 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.18 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.23 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.14 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.19 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.18 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.18 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Fitted Value: 0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.3 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.39 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.11 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.31 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.16 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.17 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.05 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.15 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.28 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.04 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.24 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.15 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.08 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.31 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.37 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.18 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.26 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.28 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.19 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.17 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.34 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.24 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.35 <br> Fitted Value: -0.35 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.36 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.28 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.36 <br> Fitted Value: -0.4 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.42 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.28 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.63 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.59 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.2 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.23 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.09 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.29 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.22 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.3 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.27 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.4 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.22 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.01 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.09 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.22 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.08 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.06 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.2 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.27 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.25 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.18 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.45 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.4 <br> Fitted Value: 0.35 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.5 <br> Fitted Value: 0.29 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.89 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.54 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.36 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.49 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.03 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.05 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.12 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.4 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.02 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.26 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.16 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.17 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.03 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18"],"error_y":{"color":"rgba(255,127,14,1)"},"error_x":{"color":"rgba(255,127,14,1)"},"xaxis":"x","yaxis":"y","frame":null},{"x":[2020.41643835616,2020.41917808219,2020.42191780822,2020.42465753425,2020.42739726027,2020.4301369863,2020.43287671233,2020.43561643836,2020.43835616438,2020.44109589041,2020.44383561644,2020.44657534247,2020.44931506849,2020.45205479452,2020.45479452055,2020.45753424658,2020.4602739726,2020.46301369863,2020.46575342466,2020.46849315068,2020.47123287671,2020.47397260274,2020.47671232877,2020.47945205479,2020.48219178082],"y":[-0.153088846185456,0.0238431159264837,-0.138715907557504,0.0241379705554211,0.148370953170255,-0.110828315511153,0.222982898664383,-0.0224827152611855,-0.030973027723339,0.0849797382641672,-0.0562333052346131,-0.00949129260696416,-0.11217935146598,-0.112483803856292,-0.019371871498641,-0.0276283377266018,-0.0274304188289844,-0.0689887680390426,0.0373702177690046,-0.244236779829402,0.000171613158782685,0.0347370717236184,0.00308617187353402,0.003254254654069,-0.140638176168242],"mode":"lines+markers","name":"Forecasted","type":"scatter","hoverinfo":["text","text","text","text","text","text","text","text","text","text","text","text","text","text","text","text","text","text","text","text","text","text","text","text","text"],"text":["Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Forecasted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.22 <br> Forecasted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.4 <br> Forecasted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Forecasted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.28 <br> Forecasted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Forecasted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.11 <br> Forecasted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.21 <br> Forecasted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.28 <br> Forecasted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.07 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.1 <br> Forecasted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.14 <br> Forecasted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.04 <br> Forecasted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.22 <br> Forecasted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.15 <br> Forecasted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0 <br> Forecasted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.1 <br> Forecasted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.12 <br> Forecasted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: -0.06 <br> Forecasted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: STL + ETS(A,N,N) <br> Actual: 0.07 <br> Forecasted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.15 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18"],"marker":{"color":"green","line":{"color":"rgba(44,160,44,1)"}},"line":{"color":"green"},"error_y":{"color":"rgba(44,160,44,1)"},"error_x":{"color":"rgba(44,160,44,1)"},"xaxis":"x","yaxis":"y","frame":null}],"highlight":{"on":"plotly_click","persistent":false,"dynamic":false,"selectize":false,"opacityDim":0.2,"selected":{"opacity":1},"debounce":0},"shinyEvents":["plotly_hover","plotly_click","plotly_selected","plotly_relayout","plotly_brushed","plotly_brushing","plotly_clickannotation","plotly_doubleclick","plotly_deselect","plotly_afterplot","plotly_sunburstclick"],"base_url":"https://plot.ly"},"evals":[],"jsHooks":[]}</script> ``` ## ME RMSE MAE MPE MAPE MASE ACF1 ## Training set 0.0001352459 0.1467556 0.1077333 NaN Inf 0.6121839 -0.004552901 ## Test set 0.0648734765 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<br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.62 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.41 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.43 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.36 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.41 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.54 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.33 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.65 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.29 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.65 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.36 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.42 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.37 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.3 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.37 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.29 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.35 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.29 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.71 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.73 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.35 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.37 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.39 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.31 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.35 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.57 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.58 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.59 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.48 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.54 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.31 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.72 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.33 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.55 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.62 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.38 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.46 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.31 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.5 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.45 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.35 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.35 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.31 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.3 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.39 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.46 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.62 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.55 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.47 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.48 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.37 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.36 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.45 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.33 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.31 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.61 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.41 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.44 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.29 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.57 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.48 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.43 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.65 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.3 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.31 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.34 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.44 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.49 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.37 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.56 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.46 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.47 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.36 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.41 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.47 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.45 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.3 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.31 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.73 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.47 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.34 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.43 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.33 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.33 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.47 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.34 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.7 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.37 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.3 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.53 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.55 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.43 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.41 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.69 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.45 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.29 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.39 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.41 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.29 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.46 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.3 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.39 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.31 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.31 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.37 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.34 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.35 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.36 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.36 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.42 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.63 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.59 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.29 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.3 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.45 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.5 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.89 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.54 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.36 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.49 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> 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ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.87 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.62 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.43 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.54 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.65 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.65 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.42 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.71 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.73 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.39 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.57 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.58 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.59 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.48 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.54 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.72 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.55 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.62 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.38 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.46 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.5 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.39 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.46 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.62 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.55 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.48 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.61 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.44 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.57 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.48 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.43 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.65 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.34 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.44 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.49 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.56 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.46 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.73 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.34 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.43 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.34 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.7 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.53 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.55 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.43 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.69 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.39 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.46 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.39 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.34 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.42 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.63 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.59 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.5 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean 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MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Forecasted Value: NA <br> 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<br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.62 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.41 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.43 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.36 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.41 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.54 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.33 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.65 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.29 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.65 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.36 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.42 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.37 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.3 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.37 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.29 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.35 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.29 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.71 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.73 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.35 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.37 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.39 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.31 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.35 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.57 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.58 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.59 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.48 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.54 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.31 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.72 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.33 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.55 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.62 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.38 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.46 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.31 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.5 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.45 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.35 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.35 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.31 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.3 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.39 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.46 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.62 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.55 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.47 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.48 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.37 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.36 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.45 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.33 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.31 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.61 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.41 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.44 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.29 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.57 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.48 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.43 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.65 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.3 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.31 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.34 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.44 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.49 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.37 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.56 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.46 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.47 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.36 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.41 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.47 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.45 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.3 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.31 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.73 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.47 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.34 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.43 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.33 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.33 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.47 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.34 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.7 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.37 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.3 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.53 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.55 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.43 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.41 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.69 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.45 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.29 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.39 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.41 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.29 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.46 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.3 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.39 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.31 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.31 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.37 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.34 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.35 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.36 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.36 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.42 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.63 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.59 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.29 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.3 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.45 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.5 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.89 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.54 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.36 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.49 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: 100 <br> RMSE: 0.18 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: ARIMA(0,0,0) with zero mean <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> 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0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.41 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.23 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.28 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.21 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.43 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.36 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.22 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.41 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.4 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.23 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.23 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.54 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.33 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.65 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.19 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.13 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.29 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.65 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.36 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.42 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.37 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.3 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.37 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.29 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.19 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.35 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.27 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.24 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.29 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.28 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.71 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.17 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.73 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.35 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.24 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.4 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.37 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.18 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.13 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.26 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.39 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.31 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.35 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.57 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.19 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.58 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.15 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.59 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.48 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.24 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.15 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.54 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.19 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.31 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.72 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.33 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.4 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.19 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.21 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.55 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.62 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.18 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.38 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.46 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.31 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.5 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.45 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.17 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.22 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.35 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.25 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.35 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.17 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.31 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.3 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.18 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.39 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.46 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.62 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.22 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.22 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.18 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.28 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.26 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.28 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.21 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.55 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.32 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.26 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.47 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.19 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.48 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.28 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.37 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.21 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.13 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.36 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.45 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.13 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.32 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.33 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.32 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.31 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.4 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.25 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.18 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.61 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.17 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.21 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.19 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.25 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.41 <br> Fitted Value: -0.42 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.26 <br> Fitted Value: -0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.27 <br> Fitted Value: -0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.32 <br> Fitted Value: -0.33 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.26 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.44 <br> Fitted Value: -0.45 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.19 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.19 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.4 <br> Fitted Value: -0.41 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.19 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.23 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.29 <br> Fitted Value: 0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.57 <br> Fitted Value: -0.58 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.48 <br> Fitted Value: 0.47 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.43 <br> Fitted Value: 0.42 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.22 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.15 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.65 <br> Fitted Value: -0.66 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.27 <br> Fitted Value: -0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.3 <br> Fitted Value: -0.31 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.31 <br> Fitted Value: -0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.15 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.19 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.22 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.34 <br> Fitted Value: -0.35 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.44 <br> Fitted Value: -0.45 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.26 <br> Fitted Value: -0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.21 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.24 <br> Fitted Value: 0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.49 <br> Fitted Value: 0.48 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.22 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.24 <br> Fitted Value: -0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.18 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.37 <br> Fitted Value: 0.36 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.15 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.19 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.23 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.56 <br> Fitted Value: -0.57 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.46 <br> Fitted Value: -0.47 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.47 <br> Fitted Value: 0.46 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.21 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.19 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.18 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.4 <br> Fitted Value: -0.41 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.24 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: -0.55 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.19 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.15 <br> Fitted Value: 0.62 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Fitted Value: 0.39 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: -0.45 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.27 <br> Fitted Value: 0.51 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.15 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.26 <br> Fitted Value: -0.44 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: -0.34 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.18 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Fitted Value: 0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.13 <br> Fitted Value: -0.34 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: 0.31 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.18 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: -0.38 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: 0.46 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.61 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.25 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.21 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.36 <br> Fitted Value: -0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: 0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.41 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.47 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.17 <br> Fitted Value: -0.55 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.45 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.3 <br> Fitted Value: -0.47 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.31 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.73 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.47 <br> Fitted Value: 0.48 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Fitted Value: -0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.27 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.37 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.34 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.43 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.15 <br> Fitted Value: 0.37 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.45 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.17 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.27 <br> Fitted Value: -0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.13 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.33 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.33 <br> Fitted Value: -0.33 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.19 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.47 <br> Fitted Value: -0.31 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: -0.4 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.23 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.21 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: 0.61 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.13 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.34 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.21 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.21 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.7 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.21 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: -0.4 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.37 <br> Fitted Value: -0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.3 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: -0.31 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.53 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.32 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Fitted Value: 0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.13 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.17 <br> Fitted Value: -0.43 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.22 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.17 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: -0.39 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.15 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.15 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.55 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.17 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Fitted Value: 0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.27 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.18 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: -0.56 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: 0.49 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Fitted Value: 0.44 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.28 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.26 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Fitted Value: -0.64 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.32 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Fitted Value: -0.29 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.23 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: -0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.25 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.27 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.22 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.15 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Fitted Value: -0.33 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.43 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: -0.43 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.24 <br> Fitted Value: -0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.41 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.69 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: 0.5 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.19 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.27 <br> Fitted Value: 0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.22 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.17 <br> Fitted Value: 0.38 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.25 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.15 <br> Fitted Value: -0.55 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.24 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: -0.45 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.48 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.26 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.45 <br> Fitted Value: -0.39 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.29 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.19 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.23 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.39 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.18 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.32 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.41 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.29 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.28 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.15 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.22 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.26 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: -0.37 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.46 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.22 <br> Fitted Value: 0.37 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: 0.49 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.24 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.25 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Fitted Value: 0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.17 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.18 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.23 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: -0.31 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.19 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.18 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.18 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Fitted Value: 0.4 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.3 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.39 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Fitted Value: 0.36 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.31 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.17 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.15 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.17 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.28 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.24 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.15 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.31 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.37 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.18 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.39 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.26 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.28 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.19 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.17 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.34 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.24 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.35 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Fitted Value: 0.29 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.36 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.28 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.36 <br> Fitted Value: -0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.42 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.28 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.63 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.59 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.23 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.29 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.22 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.17 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.3 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.27 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.4 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.22 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.22 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Fitted Value: 0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.27 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.25 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.18 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.45 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.4 <br> Fitted Value: 0.48 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters 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Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.4 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: 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<br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.22 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.4 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.28 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: 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HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.87 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.62 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.43 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.54 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.65 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.65 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.42 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.71 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.73 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.39 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.57 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.58 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.59 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.48 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.54 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.72 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.55 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.62 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.38 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.46 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.5 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.39 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.46 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.62 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.55 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.48 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.61 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.44 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.57 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.48 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.43 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.65 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.34 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.44 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.49 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.56 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.46 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.73 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.34 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.43 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.34 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.7 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.53 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.55 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.43 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.69 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.39 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.46 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.39 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.34 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.42 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.63 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.59 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.5 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.89 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.54 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.49 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.4 <br> Forecasted Value: NA <br> 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RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.26 <br> Fitted Value: -0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.27 <br> Fitted Value: -0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.32 <br> Fitted Value: -0.33 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.26 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.44 <br> Fitted Value: -0.45 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.19 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.19 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.4 <br> Fitted Value: -0.41 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.19 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.23 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.29 <br> Fitted Value: 0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.57 <br> Fitted Value: -0.58 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.48 <br> Fitted Value: 0.47 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.43 <br> Fitted Value: 0.42 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.22 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.15 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.65 <br> Fitted Value: -0.66 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.27 <br> Fitted Value: -0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.3 <br> Fitted Value: -0.31 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.31 <br> Fitted Value: -0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.15 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.19 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.22 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.34 <br> Fitted Value: -0.35 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.44 <br> Fitted Value: -0.45 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.26 <br> Fitted Value: -0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.21 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.24 <br> Fitted Value: 0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.49 <br> Fitted Value: 0.48 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.22 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.24 <br> Fitted Value: -0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.18 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.37 <br> Fitted Value: 0.36 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.15 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.19 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.23 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.56 <br> Fitted Value: -0.57 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.46 <br> Fitted Value: -0.47 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.47 <br> Fitted Value: 0.46 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.21 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.19 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.18 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.4 <br> Fitted Value: -0.41 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.24 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: -0.55 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.19 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.15 <br> Fitted Value: 0.62 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Fitted Value: 0.39 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: -0.45 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.27 <br> Fitted Value: 0.51 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.15 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.26 <br> Fitted Value: -0.44 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: -0.34 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.18 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Fitted Value: 0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.13 <br> Fitted Value: -0.34 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: 0.31 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.18 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: -0.38 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: 0.46 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.61 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.25 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.21 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.36 <br> Fitted Value: -0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: 0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.41 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.47 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.17 <br> Fitted Value: -0.55 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.45 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.3 <br> Fitted Value: -0.47 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.31 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.73 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.47 <br> Fitted Value: 0.48 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Fitted Value: -0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.27 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.37 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.34 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.43 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.15 <br> Fitted Value: 0.37 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.45 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.17 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.27 <br> Fitted Value: -0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.13 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.33 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.33 <br> Fitted Value: -0.33 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.19 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.47 <br> Fitted Value: -0.31 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: -0.4 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.23 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.21 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: 0.61 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.13 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.34 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.21 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.21 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.7 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.21 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: -0.4 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.37 <br> Fitted Value: -0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.3 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: -0.31 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.53 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.32 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Fitted Value: 0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.13 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.17 <br> Fitted Value: -0.43 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.22 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.17 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: -0.39 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.15 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.15 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.55 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.17 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Fitted Value: 0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.27 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.18 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: -0.56 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: 0.49 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Fitted Value: 0.44 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.28 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.26 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Fitted Value: -0.64 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.32 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Fitted Value: -0.29 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.23 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: -0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.25 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.27 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.22 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.15 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Fitted Value: -0.33 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.43 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: -0.43 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.24 <br> Fitted Value: -0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.41 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.69 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: 0.5 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.19 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.27 <br> Fitted Value: 0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.22 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.17 <br> Fitted Value: 0.38 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.25 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.15 <br> Fitted Value: -0.55 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.24 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: -0.45 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.48 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.26 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.45 <br> Fitted Value: -0.39 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.29 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.19 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.23 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.39 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.18 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.32 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.41 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.29 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.28 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.15 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.13 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.22 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.26 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: -0.37 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.46 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.22 <br> Fitted Value: 0.37 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: 0.49 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.24 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.01 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.25 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.04 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Fitted Value: 0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.17 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.18 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.23 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: -0.31 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.14 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.19 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.18 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.02 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.18 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.11 <br> Fitted Value: 0.4 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.07 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.3 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.39 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Fitted Value: 0.36 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.11 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.31 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.16 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.17 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.05 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.1 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.15 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.17 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.28 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.04 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.24 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.12 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.15 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.08 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.31 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.37 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.18 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.39 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.26 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.28 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.19 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.17 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.34 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.24 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.35 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.03 <br> Fitted Value: 0.29 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.36 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.28 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.36 <br> Fitted Value: -0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.42 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.07 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.28 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.63 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.59 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.2 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.23 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.09 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.29 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.22 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.17 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.3 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.27 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.4 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.22 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.01 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.1 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.09 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.22 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.08 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.06 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.2 <br> Fitted Value: 0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.27 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.25 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.18 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.45 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.4 <br> Fitted Value: 0.48 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.5 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.89 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.54 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.36 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.49 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.05 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.12 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.14 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.4 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.02 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0.26 <br> Fitted Value: 0.29 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.16 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: -0.06 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.2 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.18","Model: HoltWinters 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<br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.27 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.24 <br> Fitted Value: 0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.29 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.28 <br> Fitted Value: 0.29 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Fitted Value: -0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.71 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.17 <br> Fitted Value: -0.71 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.73 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.73 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.35 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.24 <br> Fitted Value: 0.35 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.4 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: -0.4 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.37 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.18 <br> Fitted Value: 0.37 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.13 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.26 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.39 <br> Fitted Value: 0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.31 <br> Fitted Value: 0.39 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.35 <br> Fitted Value: -0.31 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.35 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.57 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Fitted Value: -0.57 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.58 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.58 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.59 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.48 <br> Fitted Value: -0.59 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.48 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.54 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Fitted Value: -0.54 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.31 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: -0.31 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.72 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.33 <br> Fitted Value: 0.72 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.33 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: 0.4 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.19 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.21 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.55 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: -0.55 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.62 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: 0.62 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.38 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: 0.38 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.46 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.31 <br> Fitted Value: -0.46 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: 0.31 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.5 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Fitted Value: 0.5 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.45 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.17 <br> Fitted Value: -0.45 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.35 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: -0.35 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.35 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.17 <br> Fitted Value: -0.35 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.31 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: 0.31 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.3 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: 0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.39 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Fitted Value: -0.39 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.46 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.62 <br> Fitted Value: 0.46 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.62 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.22 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.22 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.28 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.26 <br> Fitted Value: -0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.28 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.55 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.32 <br> Fitted Value: -0.55 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.47 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: -0.47 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.19 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.48 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.28 <br> Fitted Value: 0.48 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Fitted Value: -0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.37 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.37 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.13 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.36 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: 0.36 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.45 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.45 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.13 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.32 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: -0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.33 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: -0.33 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.32 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.31 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: -0.31 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.4 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Fitted Value: -0.4 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.25 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.18 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.61 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.17 <br> Fitted Value: 0.61 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.21 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.19 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: -0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.41 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.41 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.27 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Fitted Value: -0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.32 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: -0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: 0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.44 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: -0.44 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.19 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.4 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: -0.4 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.23 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.29 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: 0.29 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.57 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.48 <br> Fitted Value: -0.57 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.43 <br> Fitted Value: 0.48 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.22 <br> Fitted Value: 0.43 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.65 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Fitted Value: -0.65 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.27 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: -0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.3 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: -0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.31 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: -0.31 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.22 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.34 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Fitted Value: -0.34 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.44 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Fitted Value: -0.44 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.26 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.21 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.49 <br> Fitted Value: 0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0.49 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.22 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.24 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.18 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.37 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.15 <br> Fitted Value: 0.37 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.19 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.23 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.56 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: -0.56 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.46 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.47 <br> Fitted Value: -0.46 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.47 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.21 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.18 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.4 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: -0.4 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.27 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Fitted Value: -0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.26 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.13 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.25 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.21 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: 0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.36 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0.36 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.41 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.41 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.47 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: -0.47 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.17 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.45 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: -0.45 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.3 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: -0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.31 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.31 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.73 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.47 <br> Fitted Value: 0.73 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Fitted Value: 0.47 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.27 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.34 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Fitted Value: 0.34 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.43 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: 0.43 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.15 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.17 <br> Fitted Value: -0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.27 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.13 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.33 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: -0.33 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.33 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.19 <br> Fitted Value: -0.33 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.47 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: 0.47 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.23 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.21 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.13 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.34 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.34 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.21 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.21 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.7 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: 0.7 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.21 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.37 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0.37 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.3 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: -0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.53 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.53 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.13 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.17 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.17 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.15 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.55 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.55 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.17 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.18 <br> Fitted Value: -0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: -0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.26 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.23 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.25 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.27 <br> Fitted Value: -0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Fitted Value: 0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.22 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.43 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.43 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.41 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.69 <br> Fitted Value: -0.41 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: 0.69 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.27 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: -0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.22 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.17 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.25 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.15 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.24 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.26 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.45 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.29 <br> Fitted Value: 0.45 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.29 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.23 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.39 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Fitted Value: 0.39 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.32 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Fitted Value: -0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.41 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.41 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.29 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: -0.29 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Fitted Value: 0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.22 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.26 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: 0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.46 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.22 <br> Fitted Value: 0.46 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.25 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: -0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.17 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.18 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.23 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: 0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.19 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.18 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.3 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: -0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.39 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Fitted Value: 0.39 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.31 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.31 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.17 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.28 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: 0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Fitted Value: 0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.15 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.31 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: 0.31 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.37 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.18 <br> Fitted Value: -0.37 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.28 <br> Fitted Value: 0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Fitted Value: 0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.17 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.34 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Fitted Value: -0.34 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.24 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.35 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Fitted Value: -0.35 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.36 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: -0.36 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.28 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: -0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.36 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.36 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.42 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: -0.42 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.28 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.63 <br> Fitted Value: -0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: -0.63 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.59 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Fitted Value: -0.59 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.23 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.29 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.29 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.22 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.17 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.3 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.27 <br> Fitted Value: -0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.4 <br> Fitted Value: -0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.22 <br> Fitted Value: -0.4 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.25 <br> Fitted Value: -0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: -0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.45 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: -0.45 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.4 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.5 <br> Fitted Value: 0.4 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.89 <br> Fitted Value: 0.5 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.89 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.54 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.36 <br> Fitted Value: -0.54 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.49 <br> Fitted Value: 0.36 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: -0.49 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: 0.4 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.26 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Fitted Value: 0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.17 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.22 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.4 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.28 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.21 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.28 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Fitted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 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Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.87 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.62 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.43 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.54 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.65 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.65 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.42 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.71 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.73 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.39 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.57 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.58 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.59 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.48 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.54 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.72 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.55 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.62 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.38 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.46 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.5 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.39 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.46 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.62 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.55 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.48 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.61 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.44 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.57 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.48 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.43 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.65 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.34 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.44 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.49 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.56 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.46 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.73 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.34 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.43 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.34 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.7 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.53 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.55 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.43 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.69 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.39 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.46 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.39 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.34 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.42 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.63 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.59 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.5 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.89 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.54 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.49 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Forecasted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.22 <br> Forecasted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.4 <br> Forecasted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Forecasted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.28 <br> Forecasted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Forecasted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Forecasted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.21 <br> Forecasted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.28 <br> Forecasted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Forecasted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Forecasted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Forecasted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Forecasted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.22 <br> Forecasted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.15 <br> Forecasted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Forecasted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> 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Naive method <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.28 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.21 <br> Fitted Value: 0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.43 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.43 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.36 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Fitted Value: -0.36 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.22 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.41 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.4 <br> Fitted Value: -0.41 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: 0.4 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.23 <br> Fitted Value: 0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: 0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.54 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.33 <br> Fitted Value: -0.54 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.33 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.65 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: -0.65 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.19 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.13 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.29 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.65 <br> Fitted Value: -0.29 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: -0.65 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.36 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: -0.36 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.42 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.37 <br> Fitted Value: -0.42 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: -0.37 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.3 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: 0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.37 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.29 <br> Fitted Value: -0.37 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: -0.29 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.35 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: -0.35 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.27 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.24 <br> Fitted Value: 0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.29 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.28 <br> Fitted Value: 0.29 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Fitted Value: -0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.71 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.17 <br> Fitted Value: -0.71 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.73 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.73 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.35 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.24 <br> Fitted Value: 0.35 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.4 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: -0.4 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.37 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.18 <br> Fitted Value: 0.37 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.13 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.26 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.39 <br> Fitted Value: 0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.31 <br> Fitted Value: 0.39 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.35 <br> Fitted Value: -0.31 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.35 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.57 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Fitted Value: -0.57 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.58 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.58 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.59 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.48 <br> Fitted Value: -0.59 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.48 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.54 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Fitted Value: -0.54 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.31 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: -0.31 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.72 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.33 <br> Fitted Value: 0.72 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.33 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: 0.4 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.19 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.21 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.55 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: -0.55 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.62 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: 0.62 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.38 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: 0.38 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.46 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.31 <br> Fitted Value: -0.46 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: 0.31 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.5 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Fitted Value: 0.5 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.45 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.17 <br> Fitted Value: -0.45 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.35 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: -0.35 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.35 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.17 <br> Fitted Value: -0.35 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.31 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: 0.31 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.3 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: 0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.39 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Fitted Value: -0.39 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.46 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.62 <br> Fitted Value: 0.46 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.62 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.22 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.22 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.28 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.26 <br> Fitted Value: -0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.28 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.55 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.32 <br> Fitted Value: -0.55 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.47 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: -0.47 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.19 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.48 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.28 <br> Fitted Value: 0.48 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Fitted Value: -0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.37 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.37 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.13 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.36 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: 0.36 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.45 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.45 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.13 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.32 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: -0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.33 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: -0.33 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.32 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.31 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: -0.31 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.4 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Fitted Value: -0.4 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.25 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.18 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.61 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.17 <br> Fitted Value: 0.61 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.21 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.19 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: -0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.41 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.41 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.27 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Fitted Value: -0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.32 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: -0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: 0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.44 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: -0.44 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.19 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.4 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: -0.4 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.23 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.29 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: 0.29 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.57 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.48 <br> Fitted Value: -0.57 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.43 <br> Fitted Value: 0.48 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.22 <br> Fitted Value: 0.43 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.65 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Fitted Value: -0.65 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.27 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: -0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.3 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: -0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.31 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: -0.31 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.22 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.34 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Fitted Value: -0.34 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.44 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Fitted Value: -0.44 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.26 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.21 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.49 <br> Fitted Value: 0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0.49 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.22 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.24 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.18 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.37 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.15 <br> Fitted Value: 0.37 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.19 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.23 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.56 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: -0.56 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.46 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.47 <br> Fitted Value: -0.46 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.47 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.21 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.18 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.4 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: -0.4 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.27 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Fitted Value: -0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.26 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.13 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.25 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.21 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: 0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.36 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0.36 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.41 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.41 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.47 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: -0.47 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.17 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.45 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: -0.45 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.3 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: -0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.31 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.31 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.73 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.47 <br> Fitted Value: 0.73 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Fitted Value: 0.47 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.27 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.34 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Fitted Value: 0.34 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.43 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: 0.43 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.15 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.17 <br> Fitted Value: -0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.27 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.13 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.33 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: -0.33 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.33 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.19 <br> Fitted Value: -0.33 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.47 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: 0.47 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.23 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.21 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.13 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.34 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.34 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.21 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.21 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.7 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: 0.7 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.21 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: -0.21 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.37 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0.37 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.3 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: -0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.53 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.53 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.13 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.17 <br> Fitted Value: -0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.17 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.15 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.55 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.55 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.17 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.18 <br> Fitted Value: -0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: -0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.26 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: 0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.23 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.25 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.27 <br> Fitted Value: -0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Fitted Value: 0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.22 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.43 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.43 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.41 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.69 <br> Fitted Value: -0.41 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: 0.69 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.27 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: -0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.22 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.17 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.25 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.15 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.24 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.26 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.45 <br> Fitted Value: -0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.29 <br> Fitted Value: 0.45 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.29 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.23 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.39 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Fitted Value: 0.39 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.32 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Fitted Value: -0.32 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.41 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.41 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.29 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: -0.29 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Fitted Value: 0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.22 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.26 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: 0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.46 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.22 <br> Fitted Value: 0.46 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.01 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.25 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: -0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.17 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.18 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.23 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: 0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.14 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.19 <br> Fitted Value: -0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: -0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.18 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: 0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.02 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.11 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: 0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: 0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.3 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: -0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.39 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Fitted Value: 0.39 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.11 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Fitted Value: -0.11 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.31 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.31 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.16 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.17 <br> Fitted Value: 0.16 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: 0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.1 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.15 <br> Fitted Value: -0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.28 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: 0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.04 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.12 <br> Fitted Value: 0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: -0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.15 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.15 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.31 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.12 <br> Fitted Value: 0.31 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.37 <br> Fitted Value: 0.12 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.18 <br> Fitted Value: -0.37 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.18 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.28 <br> Fitted Value: 0.26 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.19 <br> Fitted Value: 0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.17 <br> Fitted Value: -0.19 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.34 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Fitted Value: -0.34 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.24 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.35 <br> Fitted Value: -0.24 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.03 <br> Fitted Value: -0.35 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.36 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.06 <br> Fitted Value: -0.36 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.28 <br> Fitted Value: -0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: -0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.36 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.36 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.42 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.07 <br> Fitted Value: -0.42 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.28 <br> Fitted Value: -0.07 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.63 <br> Fitted Value: -0.28 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: -0.63 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.59 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.2 <br> Fitted Value: -0.59 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.23 <br> Fitted Value: -0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.09 <br> Fitted Value: -0.23 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.29 <br> Fitted Value: -0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.29 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.22 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.14 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: 0.14 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.17 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: -0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.3 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.27 <br> Fitted Value: -0.3 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.4 <br> Fitted Value: -0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.22 <br> Fitted Value: -0.4 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.01 <br> Fitted Value: 0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.05 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: -0.05 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.09 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.09 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.08 <br> Fitted Value: -0.22 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.06 <br> Fitted Value: -0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.03 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.2 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.2 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: -0.25 <br> Fitted Value: -0.27 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0.02 <br> Fitted Value: -0.25 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.25 <br> Testing Set <br> MAPE: 100 <br> RMSE: 0.15","Model: Naive method <br> Actual: 0 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> 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BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.17 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.87 <br> Fitted Value: 0.13 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.29 <br> Fitted Value: 0.1 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0.08 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Fitted Value: 0.06 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.22 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.62 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.41 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.23 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.28 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.21 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.43 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.36 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.22 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.41 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.4 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.23 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.23 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.54 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.33 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.65 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.19 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.13 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.29 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.65 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.36 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.42 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.37 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.3 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.37 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.29 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.35 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.27 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.24 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.29 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.28 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.71 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.73 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.35 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.24 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.4 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.37 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.18 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.13 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.26 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.39 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.31 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.35 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.57 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.58 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.59 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.48 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.54 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.31 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.72 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.33 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.55 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.62 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.38 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.46 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.31 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.5 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.45 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.22 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.35 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.35 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.31 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.3 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.39 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.46 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.62 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.22 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.28 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.28 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.21 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.55 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.26 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.47 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.48 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.37 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.21 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.36 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.45 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.13 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.32 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.33 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.32 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.31 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.4 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.25 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.18 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.61 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.17 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.21 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.19 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.25 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.41 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.26 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.27 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.32 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.26 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.44 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.19 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.19 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.4 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.23 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.29 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.57 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.48 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.43 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.22 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.15 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.65 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.27 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.3 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.31 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.34 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.44 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.26 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.21 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.24 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.49 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.37 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.19 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.23 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.56 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.46 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.47 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.21 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.27 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.26 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.18 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.13 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.18 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.25 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.21 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.23 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.36 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.41 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.47 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.17 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.45 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.3 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.31 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.73 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.47 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.34 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.43 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.15 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.32 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.26 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.33 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.33 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.47 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.34 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.21 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.7 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.37 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.3 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.53 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.55 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.27 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.43 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.41 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.69 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.45 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.29 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.39 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.41 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.29 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.28 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.46 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.18 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.3 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.39 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.31 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.17 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.28 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.24 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.15 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.31 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.37 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.18 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.26 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.28 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.17 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.34 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.24 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.35 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.36 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.28 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.36 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.42 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.28 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.63 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.59 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.23 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.29 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.22 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.3 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.45 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.4 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.5 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.89 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.54 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.36 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.49 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.26 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 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BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.87 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.62 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.43 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.54 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.65 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.65 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.42 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.71 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.73 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.39 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.57 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.58 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.59 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.48 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.54 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.72 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.55 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.62 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.38 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.46 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.5 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.39 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.46 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.62 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.55 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.48 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.61 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.44 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.57 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.48 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.43 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.65 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.34 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.44 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.49 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.56 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.46 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.73 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.34 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.43 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.33 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.47 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.34 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.7 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.21 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.53 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.55 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.43 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.69 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.39 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.32 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.41 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.46 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.39 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.15 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.31 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.37 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.34 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.24 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.35 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.42 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.28 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.63 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.59 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.23 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.29 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.3 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.22 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.27 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.25 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.18 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.45 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.5 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.89 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.54 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.36 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.49 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.4 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.26 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: NA <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.22 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.4 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.28 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.21 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.28 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> 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MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.22 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.62 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.41 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.23 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.28 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.21 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.43 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.36 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.22 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.41 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.4 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.23 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.23 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.54 <br> Fitted Value: -0.04 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.33 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.65 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.19 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.13 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.29 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.65 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.36 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.42 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.37 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.3 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.37 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.29 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.35 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.27 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.24 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.29 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.28 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.71 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.73 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.35 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.24 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.4 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.37 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.18 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.13 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.26 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.39 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.31 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.35 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.57 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.58 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.59 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.48 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.54 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.31 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.72 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.33 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.55 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.62 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.38 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.46 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.31 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.5 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.45 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.22 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.35 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.35 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.31 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.3 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.39 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.46 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.62 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.22 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.28 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.28 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.21 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.55 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.26 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.47 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.48 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.37 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.21 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.36 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.45 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.13 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.32 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.33 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.32 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.31 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.4 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.25 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.18 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.61 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.17 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.21 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.19 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.25 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.41 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.26 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.27 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.32 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.26 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.44 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.19 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.19 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.4 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.23 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.29 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.57 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.48 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.43 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.22 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.15 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.65 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.27 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.3 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.31 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.34 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.44 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.26 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.21 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.24 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.49 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.37 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.19 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.23 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.56 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.46 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.47 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.21 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.27 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.26 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.18 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.13 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.18 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.25 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.21 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.23 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.36 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.41 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.47 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.17 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.45 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.3 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.31 <br> Fitted Value: 0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.73 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.47 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.34 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.43 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.15 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.32 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.26 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.33 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.33 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.47 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.34 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.21 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.7 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.21 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.37 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.3 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.53 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.55 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.27 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.28 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.43 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.41 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.69 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.45 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.29 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.39 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.32 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.41 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.29 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.28 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.13 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.26 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.46 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.24 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.23 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.19 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.18 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.3 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.39 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.11 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.31 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.16 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.17 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.05 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.15 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.28 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.04 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.24 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.15 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.08 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.31 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.37 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.18 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.26 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.28 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.19 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.17 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.34 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.24 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.35 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.36 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.28 <br> Fitted Value: -0.03 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.36 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.42 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.28 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.63 <br> Fitted Value: -0.02 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.59 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.2 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.23 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.29 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.22 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.3 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.01 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.09 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.22 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.08 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.2 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.27 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.25 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.18 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.45 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.4 <br> Fitted Value: 0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.5 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.89 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.54 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.36 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.49 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.03 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.05 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.12 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.4 <br> Fitted Value: 0 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.02 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.26 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.16 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.17 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.03 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Fitted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 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BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.22 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.4 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.28 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.11 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.21 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.28 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.07 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.1 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.14 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.04 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.22 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.15 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.1 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.12 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: -0.06 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16","Model: BATS(1, {0,0}, 0.819, -) <br> Actual: 0.07 <br> Forecasted Value: -0.01 <br> Training Set <br> MAPE: Inf <br> RMSE: 0.18 <br> Testing Set <br> MAPE: Inf <br> RMSE: 0.16"],"marker":{"color":"green","line":{"color":"rgba(44,160,44,1)"}},"line":{"color":"green"},"error_y":{"color":"rgba(44,160,44,1)"},"error_x":{"color":"rgba(44,160,44,1)"},"xaxis":"x","yaxis":"y","frame":null}],"highlight":{"on":"plotly_click","persistent":false,"dynamic":false,"selectize":false,"opacityDim":0.2,"selected":{"opacity":1},"debounce":0},"shinyEvents":["plotly_hover","plotly_click","plotly_selected","plotly_relayout","plotly_brushed","plotly_brushing","plotly_clickannotation","plotly_doubleclick","plotly_deselect","plotly_afterplot","plotly_sunburstclick"],"base_url":"https://plot.ly"},"evals":[],"jsHooks":[]}</script> ``` ## ME RMSE MAE MPE MAPE MASE ACF1 ## Training set -0.001409578 0.1788000 0.1139979 NaN Inf 0.6477823 0.0203567 ## Test set 0.045433505 0.1551474 0.1161518 Inf Inf 0.6600212 0.2266743 ## Theil's U ## Training set NA ## Test set NaN ``` --- # _Forecast_ Model ## Model yang Dipilih <table> <caption>Rangkuman Akurasi Model</caption> <thead> <tr> <th style="text-align:left;"> Metode </th> <th style="text-align:right;"> MAE </th> </tr> </thead> <tbody> <tr> <td style="text-align:left;"> Auto ARIMA </td> <td style="text-align:right;"> 0.1132 </td> </tr> <tr> <td style="text-align:left;"> Naive </td> <td style="text-align:right;"> 0.1132 </td> </tr> <tr> <td style="text-align:left;"> TBATS </td> <td style="text-align:right;"> 0.1162 </td> </tr> <tr> <td style="text-align:left;"> Holtwinter </td> <td style="text-align:right;"> 0.1432 </td> </tr> <tr> <td style="text-align:left;"> Exponential Smoothing </td> <td style="text-align:right;"> 0.1472 </td> </tr> <tr> <td style="text-align:left;"> ARIMA </td> <td style="text-align:right;"> 0.1473 </td> </tr> </tbody> </table> Dibandingkan dengan metode lain yang memiliki MAE rendah, metode Holtwinter memberikan prediksi yang tak singular.